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New information of dopaminergic agents based on quantum chemistry calculations
Dopamine is an important neurotransmitter that plays a key role in a wide range of both locomotive and cognitive functions in humans. Disturbances on the dopaminergic system cause, among others, psychosis, Parkinson’s disease and Huntington’s disease. Antipsychotics are drugs that interact primarily...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725812/ https://www.ncbi.nlm.nih.gov/pubmed/33299000 http://dx.doi.org/10.1038/s41598-020-78446-4 |
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author | Goode-Romero, Guillermo Winnberg, Ulrika Domínguez, Laura Ibarra, Ilich A. Vargas, Rubicelia Winnberg, Elisabeth Martínez, Ana |
author_facet | Goode-Romero, Guillermo Winnberg, Ulrika Domínguez, Laura Ibarra, Ilich A. Vargas, Rubicelia Winnberg, Elisabeth Martínez, Ana |
author_sort | Goode-Romero, Guillermo |
collection | PubMed |
description | Dopamine is an important neurotransmitter that plays a key role in a wide range of both locomotive and cognitive functions in humans. Disturbances on the dopaminergic system cause, among others, psychosis, Parkinson’s disease and Huntington’s disease. Antipsychotics are drugs that interact primarily with the dopamine receptors and are thus important for the control of psychosis and related disorders. These drugs function as agonists or antagonists and are classified as such in the literature. However, there is still much to learn about the underlying mechanism of action of these drugs. The goal of this investigation is to analyze the intrinsic chemical reactivity, more specifically, the electron donor–acceptor capacity of 217 molecules used as dopaminergic substances, particularly focusing on drugs used to treat psychosis. We analyzed 86 molecules categorized as agonists and 131 molecules classified as antagonists, applying Density Functional Theory calculations. Results show that most of the agonists are electron donors, as is dopamine, whereas most of the antagonists are electron acceptors. Therefore, a new characterization based on the electron transfer capacity is proposed in this study. This new classification can guide the clinical decision-making process based on the physiopathological knowledge of the dopaminergic diseases. |
format | Online Article Text |
id | pubmed-7725812 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77258122020-12-14 New information of dopaminergic agents based on quantum chemistry calculations Goode-Romero, Guillermo Winnberg, Ulrika Domínguez, Laura Ibarra, Ilich A. Vargas, Rubicelia Winnberg, Elisabeth Martínez, Ana Sci Rep Article Dopamine is an important neurotransmitter that plays a key role in a wide range of both locomotive and cognitive functions in humans. Disturbances on the dopaminergic system cause, among others, psychosis, Parkinson’s disease and Huntington’s disease. Antipsychotics are drugs that interact primarily with the dopamine receptors and are thus important for the control of psychosis and related disorders. These drugs function as agonists or antagonists and are classified as such in the literature. However, there is still much to learn about the underlying mechanism of action of these drugs. The goal of this investigation is to analyze the intrinsic chemical reactivity, more specifically, the electron donor–acceptor capacity of 217 molecules used as dopaminergic substances, particularly focusing on drugs used to treat psychosis. We analyzed 86 molecules categorized as agonists and 131 molecules classified as antagonists, applying Density Functional Theory calculations. Results show that most of the agonists are electron donors, as is dopamine, whereas most of the antagonists are electron acceptors. Therefore, a new characterization based on the electron transfer capacity is proposed in this study. This new classification can guide the clinical decision-making process based on the physiopathological knowledge of the dopaminergic diseases. Nature Publishing Group UK 2020-12-09 /pmc/articles/PMC7725812/ /pubmed/33299000 http://dx.doi.org/10.1038/s41598-020-78446-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Goode-Romero, Guillermo Winnberg, Ulrika Domínguez, Laura Ibarra, Ilich A. Vargas, Rubicelia Winnberg, Elisabeth Martínez, Ana New information of dopaminergic agents based on quantum chemistry calculations |
title | New information of dopaminergic agents based on quantum chemistry calculations |
title_full | New information of dopaminergic agents based on quantum chemistry calculations |
title_fullStr | New information of dopaminergic agents based on quantum chemistry calculations |
title_full_unstemmed | New information of dopaminergic agents based on quantum chemistry calculations |
title_short | New information of dopaminergic agents based on quantum chemistry calculations |
title_sort | new information of dopaminergic agents based on quantum chemistry calculations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7725812/ https://www.ncbi.nlm.nih.gov/pubmed/33299000 http://dx.doi.org/10.1038/s41598-020-78446-4 |
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